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http://hdl.handle.net/1942/4835
Title: | Multi-agent reinforcement learning in stochastic single and multi-stage games | Authors: | Verbeeck, Katja Nowé, Ann Peeters, Maarten TUYLS, Karl |
Issue Date: | 2005 | Publisher: | Springer | Source: | Adaptive agents and multi-agents systems II. p. 275-294 | Series/Report: | Lecture Notes in Computer Science | Abstract: | In this paper we report on a solution method for one of the most challenging problems in Multi-agent Reinforcement Learning, i.e. coordination. In previous work we reported on a new coordinated exploration technique for individual reinforcement learners, called Exploring Selfish Reinforcement Rearning (ESRL). With this technique, agents may exclude one or more actions from their private action space, so as to coordinate their exploration in a shrinking joint action space. Recently we adapted our solution mechanism to work in tree structured common interest multi-stage games. This paper is a roundup on the results for stochastic single and multi-stage common interest games. | Document URI: | http://hdl.handle.net/1942/4835 | ISBN: | 978-3-540-25260-3 | DOI: | 10.1007/978-3-540-32274-0_18 | ISI #: | 000228996700018 | Rights: | Springer-Verlag Berlin Heidelberg 2005. This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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LNAI 3394 - Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games.pdf Restricted Access | Published version | 376.97 kB | Adobe PDF | View/Open Request a copy |
b106974.pdf | Peer-reviewed author version | 4.53 MB | Adobe PDF | View/Open |
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